This paper has reviewed, with somewhat variable coverage, the nine MR image
segmentation techniques itemized in Table II. A wide array of approaches have been …

Intensity-based classification of MR images has proven problematic, even when advanced
techniques are used. Intrascan and interscan intensity inhomogeneities are a common …

A number of supervised and unsupervised pattern recognition techniques have been
proposed in recent years for the segmentation and the quantitative analysis of MR images …

This work presents an investigation of the potential of artificial neural networks for
classification of registered magnetic resonance and X-ray computer tomography images of …

A dynamic contrast‐enhanced MRI technique for whole breast examinations is presented.
The fast kinetics of tissue response during and after constant‐rate intravenous infusion of …

This paper updates several recent surveys on the use of fuzzy models for segmentation and
edge detection in medical image data. Our survey is divided into methods based on …

Since the first edition of Contrast-Enhanced MRI of the Breast was published in 1990, further
progress has been made in the field and interest in magnetic resonance imaging (MRI) as …

The authors demonstrate an improved differentiation of the most common tissue types in the
human brain and surrounding structures by quantitative validation using multispectral …

This work presented in this thesis was performed at the Montreal Neurologicallnstitule (MNI).
directed by Drs Alan Evans and Terry Peters. Herein are addressed two problems common …

Standard-of-care multiparameter magnetic resonance imaging (MRI) scans of the brain were
used to objectively subdivide glioblastoma multiforme (GBM) tumors into regions that …